Linked Life Data

21117963

Source:http://linkedlifedata.com/resource/pubmed/id/21117963

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2010-12-14
pubmed:abstractText
Our understanding of how cooperation can arise in a population of selfish individuals has been greatly advanced by theory. More than one approach has been used to explore the effect of population structure. Inclusive fitness theory uses genetic relatedness r to express the role of population structure. Evolutionary graph theory models the evolution of cooperation on network structures and focuses on the number of interacting partners k as a quantity of interest. Here we use empirical data from a hierarchically structured animal contact network to examine the interplay between independent, measurable proxies for these key parameters. We find strong inverse correlations between estimates of r and k over three levels of social organization, suggesting that genetic relatedness and social contact structure capture similar structural information in a real population.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jan
pubmed:issn
1537-5323
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
177
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
135-42
pubmed:meshHeading
pubmed:year
2011
pubmed:articleTitle
Exploring the Link between Genetic Relatedness r and Social Contact Structure k in Animal Social Networks.
pubmed:affiliation
Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Biology, 24306 Plön, Germany. jochen.wolf@ebc.uu.se
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't